The possible resource contention that is generated by parallel processing is often overlooked as a reason that something that appears to be able to run in parallel cannot. While the processes may be able to execute in parallel by definnition (as in, one is not dependent on the output of another for execution, and can therefore run at the same time), they still may require access to the same resources to complete their task.

This is often a cause of problems in the database world where multiple clients may be executing queries on desparent data. While the queries may not even have the same rows in their result sets, one process may have a block of the database locked that another is trying to read, and the second not only has to block for that query, but for all other sheduled operations until it can get access to the data it needs.

The same situation exists in system memory. While two executing tasks may not depend on each other and may therefore be run on different cores, only one core can access a specific block of memory at a time. The second will have to block not only the running task, but those scheduled for it until the block is freed by the first core.

Amdahl’s law does not model these variables, nor is it easy to do so. more cores != more speed

Viewing the Flash video in full screen makes the whiteboard eminently readable. However there seems to be no discernible difference between 360p and 720p(HD). Conversion error during upload? Otherwise, nice presentation.

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